I specialize in speech data evaluation, ASR post-editing, linguistic validation, transcription review, subtitling quality control, and AI training workflows. My work focuses on enhancing speech recognition accuracy, validating model outputs, correcting timestamp alignment, and ensuring contextual, semantic, and phonetic precision across diverse Indian language datasets.

With hands-on experience across multilingual AI projects and large-scale evaluation platforms, I bring strong expertise in:

• ASR post-editing and speech correction

• Speech-to-text validation

• Audio segmentation and timestamp verification

• Subtitling QA and alignment

• AI training data annotation and review

• Linguistic quality evaluation

• Machine Translation Post-Editing (MTPE)

I work with structured data and review tools including Excel, Google Sheets, Subtitle Edit, and professional audio analysis platforms to ensure accuracy, consistency, and strict guideline compliance.

My approach is detail-oriented and standards-driven, emphasizing linguistic precision, annotation integrity, and scalable data quality to support robust, production-ready AI and speech technology systems.

Open to long-term collaborations in AI training, ASR evaluation, and speech technology projects.